🐯虎嗅•Stalecollected in 21m
Humans as Trained Large Models
#human-ai-analogy#multi-agentopenclawopenclaw
💡Human-LLM analogy + OpenClaw multi-agent insights reshape your dev mindset
⚡ 30-Second TL;DR
What Changed
Human experiences as training data shape unique 'parameters' like model fine-tunes
Why It Matters
Reframe skills as tuned parameters to optimize personal AI-era positioning.
What To Do Next
Experiment with OpenClaw's multi-model orchestration for agent team prototypes.
Who should care:Researchers & Academics
Key Points
- •Human experiences as training data shape unique 'parameters' like model fine-tunes
- •OpenClaw dynamically calls specialist models, akin to human team collaboration
- •Humanity forms distributed intelligence via emergent group behaviors
- •LLM reflection chains parallel human shift from imitation to thinking
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